{"id":170159,"date":"2014-12-29T23:47:32","date_gmt":"2014-12-30T04:47:32","guid":{"rendered":"http:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/uncategorized\/machine-intelligence-cracks-genetic-controls.php"},"modified":"2014-12-29T23:47:32","modified_gmt":"2014-12-30T04:47:32","slug":"machine-intelligence-cracks-genetic-controls","status":"publish","type":"post","link":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/genetic-medicine\/machine-intelligence-cracks-genetic-controls.php","title":{"rendered":"Machine Intelligence Cracks Genetic Controls"},"content":{"rendered":"<p><p>      Every recipe has both      instructions and ingredients. So does the human genome. An      error in the instructions can raise the risk for      disease.    <\/p>\n<p>    Every cell in your body reads the    same genome, the DNA-encoded instruction set that builds    proteins. But your cells couldnt be more different. Neurons    send electrical messages, liver cells break down chemicals,    muscle cells move the body. How do cells employ the same basic    set of genetic instructions to carry out their own specialized    tasks? The answer lies in a complex, multilayered system that    controls how proteins are made.  <\/p>\n<p>    Frey compares the genome to a    recipe that a baker might use. All recipes include a list of    ingredientsflour, eggs and butter, sayalong with instructions    for what to do with those ingredients. Inside a cell, the    ingredients are the parts of the genome that code for proteins;    surrounding them are the genomes instructions for how to    combine those ingredients.  <\/p>\n<p>    Just as flour, eggs and butter can    be transformed into hundreds of different baked goods, genetic    components can be assembled into many different configurations.    This process is called alternative splicing, and its how cells    create such variety out of a single genetic code. Frey and his    colleagues used a sophisticated form of machine learning to    identify mutations in this instruction set and to predict what    effects those mutations have.  <\/p>\n<p>      Olena Shmahalo\/Quanta      Magazine    <\/p>\n<p>    The researchers have already    identified possible risk genes for autism and are working on a    system to predict whether mutations in cancer-linked genes are    harmful. I hope this paper will have a big impact on the field    of human genetics by providing a tool that geneticists can use    to identify variants of interest, said Chris Burge, a    computational biologist at the Massachusetts Institute of    Technology who was not involved in the study.  <\/p>\n<p>    But the real significance of the    research may come from the new tools it provides for exploring    vast sections of DNA that have been very difficult to interpret    until now. Many human genetics studies have sequenced only the    small part of the genome that produces proteins. This makes an    argument that the sequence of the whole genome is important    too, said Tom Cooper, a biologist at Baylor College of    Medicine in Houston, Texas.  <\/p>\n<p>    The splicing code is just one part    of the noncoding genome, the area that does not produce    proteins. But its a very important one. Approximately 90    percent of genes undergo alternative splicing, and scientists    estimate that variations in the splicing code make up anywhere    between 10 and 50 percent of all disease-linked mutations.    When you have mutations in the regulatory code, things can go    very wrong, Frey said.  <\/p>\n<p>    People have historically focused    on mutations in the protein-coding regions, to some degree    because they have a much better handle on what these mutations    do, said Mark Gerstein, a bioinformatician at Yale University,    who was not involved in the study. As we gain a better    understanding of [the DNA sequences] outside of the    protein-coding regions, well get a better sense of how    important they are in terms of disease.  <\/p>\n<p>    Scientists have made some headway    into understanding how the cell chooses a particular protein    configuration, but much of the code that governs this process    has remained an enigma. Freys team was able to decipher some of these regulatory regions in a    paper published in 2010, identifying a rough code within the    mouse genome that regulates splicing. Over the past four years,    the quality of genetics dataparticularly human datahas    improved dramatically, and machine-learning techniques have    become much more sophisticated, enabling Frey and his    collaborators to predict how splicing is affected by specific    mutations at many sites across the human genome. Genome-wide    data sets are finally able to enable predictions like this,    said Manolis Kellis, a computational biologist at MIT who was    not involved in the study.  <\/p>\n<p><!-- Auto Generated --><\/p>\n<p>See more here:<\/p>\n<p><a target=\"_blank\" href=\"http:\/\/feeds.wired.com\/c\/35185\/f\/661470\/s\/41d8f087\/sc\/46\/l\/0L0Swired0N0C20A140C120Cmachine0Eintelligence0Ecracks0Egenetic0Econtrols0C\/story01.htm\/RK=0\/RS=KyVNEG8b2g.jiOjh4HZwTsp2s4U-\" title=\"Machine Intelligence Cracks Genetic Controls\">Machine Intelligence Cracks Genetic Controls<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p> Every recipe has both instructions and ingredients.  <a href=\"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/genetic-medicine\/machine-intelligence-cracks-genetic-controls.php\">Continue reading <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"limit_modified_date":"","last_modified_date":"","_lmt_disableupdate":"","_lmt_disable":"","footnotes":""},"categories":[5],"tags":[],"class_list":["post-170159","post","type-post","status-publish","format-standard","hentry","category-genetic-medicine"],"modified_by":null,"_links":{"self":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/170159"}],"collection":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/comments?post=170159"}],"version-history":[{"count":0,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/posts\/170159\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/media?parent=170159"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/categories?post=170159"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.euvolution.com\/futurist-transhuman-news-blog\/wp-json\/wp\/v2\/tags?post=170159"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}